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1,301 results on '"Su, Zhongqing"'

153. Looking Forward

Author

Su, Zhongqing, Ye, Lin, Pfeiffer, Friedrich, editor, Wriggers, Peter, editor, Su, Zhongqing, and Ye, Lin

Published
2009
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159. Introduction

Author

Su, Zhongqing, Ye, Lin, Pfeiffer, Friedrich, editor, Wriggers, Peter, editor, Su, Zhongqing, and Ye, Lin

Published
2009
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162. Evaluation of Range Sensing-Based Place Recognition for Long-Term Urban Localization

Author

Ma, Weixin, Yin, Huan, Yao, Lei, Sun, Yuxiang, and Su, Zhongqing

Abstract

Place recognition is a critical capability for autonomous vehicles. It matches current sensor data with a pre-built database to provide coarse localization results. However, the effectiveness of long-term place recognition may be degraded by environment changes, such as seasonal or weather changes. To have a deep understanding of this issue, we conduct a comprehensive evaluation study on several state-of-the-art range sensing-based (i.e., LiDAR and radar) place recognition methods on the Borease dataset, which encapsulates long-term localization scenarios with stark seasonal variations and adverse weather conditions. In addition, we design a novel metric to evaluate the influence of matching thresholds on place recognition performance for long-term localization. Our results and findings provide fresh insights to the community and potential directions for future study.

Published
2024
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182. Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures.

Author

Liu, Qijian, Li, Yehai, Guan, Ruiqi, Yan, Jiajia, Liu, Menglong, Luo, Guojie, Su, Zhongqing, Qing, Xinlin, and Wang, Kai

Subjects
STRUCTURAL health monitoring, LAMB waves, TRANSDUCERS, ULTRASONIC waves, STRUCTURAL engineering, SURFACE structure
Abstract

Driven by the rapid advancement in manufacturing technologies, engineering structures with complex geometries are increasingly applied in various industries, posing challenges to the applicability and adaptability of existing structural health monitoring methods based on guided ultrasonic waves. To fulfill the characterization of defects in complex structures, a novel approach featuring a conjunction of zero-group-velocity (ZGV) Lamb waves and polarized poly(vinylidenefluoride-co-trifluoroethylene) (PVDF-TrFE) transducers is proposed. In this approach, the PVDF-TrFE solvent is deposited and in situ polarized on the structure surface to form thin and flexible coatings, with which the ZGV waves can be excited efficiently and measured reliably. On this basis, the defect can be characterized by investigating the defect-induced alteration in ZGV wave features. In experimental validations, disbond defects in multilayer bonded structures are evaluated using the ZGV waves measured with fabricated PVDF-TrFE transducers. For the first time, the ZGV waves are measured in a contact and in situ manner. Compared with conventional noncontact measurement of ZGV waves, the proposed approach features a remarkably improved reliability, convenience for narrowband excitation, immunity to measurement uncertainty and capability of in situ monitoring. The proposed approach can advance the ZGV wave-based methods toward the in situ health monitoring and enable the defect evaluation in emerging complex structures. [ABSTRACT FROM AUTHOR]

Published
2023
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187. Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network.

Author

Du, Fei, Wu, Shiwei, Xing, Sisi, Xu, Chao, and Su, Zhongqing

Subjects
BOLTED joints, AIRFRAMES, LAP joints, WAVEGUIDES, TEMPERATURE effect, TEMPERATURE
Abstract

Online monitoring of bolt torque is critical to ensure the safe operation of bolted structures. Guided waves have been intensively explored for bolt loosening monitoring. Nevertheless, guided waves are excessively sensitive to fluctuation of ambient temperature. As a result of the complexity of wave transmitting across a bolted joint, it is highly challenging to compensate for the effect of temperature. To this end, an attention-based multi-task network is developed towards accurate detection of bolt loosening in multi-bolt connections over a wide range of temperature variation. By integrating improved attention gate modules in a modified U-Net architecture, an attention U-Net is configured for temperature compensation. A two-layer convolutional subnetwork is connected in series behind the attention U-Net to identify bolt loosening. Experimental validation is carried out on a bolt jointed lap plate simulating a real aircraft structure. The results have proved that the developed multi-task network achieves temperature compensation and accurate bolt loosening identification. To further understand the multi-task network, the Integrated Gradients method and a simplified structure of the bolt lap plate are used to interpret the developed network. It is proved that the A0 mode is sensitive to bolt loosening, while the S0 mode is not. [ABSTRACT FROM AUTHOR]

Published
2023
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188. Sustainable‐Macromolecule‐Assisted Preparation of Cross‐linked, Ultralight, Flexible Graphene Aerogel Sensors toward Low‐Frequency Strain/Pressure to High‐Frequency Vibration Sensing

Author

Zeng, Zhihui, primary, Wu, Na, additional, Yang, Weidong, additional, Xu, Hao, additional, Liao, Yaozhong, additional, Li, Chenwei, additional, Luković, Mirko, additional, Yang, Yunfei, additional, Zhao, Shanyu, additional, Su, Zhongqing, additional, and Lu, Xuehong, additional

Published
2022
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